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For this year's conference, we are inviting papers for the following sub-domains:
AI for SDG/ESG Impact Management - AI 在 ESG/SDG 影響力管理的應用
AI for SDG/ESG Impact Management - AI 在 ESG/SDG 影響力管理的應用
Artificial Intelligence (AI) is reshaping how organizations manage and measure their Environmental, Social, and Governance (ESG) performance and their contributions to the Sustainable Development Goals (SDGs). This sub-domain invites papers that explore the application of AI across diverse areas of impact management - from automating social impact measurement and enhancing ESG risk prediction, to leveraging natural language processing for sustainability reporting and integrating remote sensing for environmental monitoring. We particularly welcome research that examines the integration of AI with social impact measurement frameworks, stakeholder engagement strategies, and real-time SDGs impact data. Topics such as AI-enabled ESG data platforms, fairness and bias in impact modeling, and comparative evaluation of ESG scoring tools are also of interest. Both theoretical and applied research, including interdisciplinary approaches that bridge data science, sustainability, governance, and ethics, are encouraged. We seek contributions that advance responsible, data-driven innovation for more impactful ESG and SDG outcomes.
Topics for Submission
We welcome a broad range of research articles, case studies, conceptual papers, and literature reviews related to this sub-domain. Submissions may include, but are not limited to, the following topics:
AI-Driven Social Impact Measurement: From Data Collection to Decision-Making: Exploring how AI can automate stakeholder feedback analysis and improve the measurement of social outcomes.
Machine Learning Models for Predicting ESG Risks and Opportunities: Using AI to forecast environmental or social risks and guide strategic ESG decisions.
Natural Language Processing for ESG and SDG Reporting Analysis: Leveraging NLP to assess corporate sustainability reports, detect greenwashing, or map SDG alignment.
Integrating AI with Social Impact Measurement Frameworks for Valuing Social Impact: Using AI to quantify and validate social value through enhanced outcome tracking, cost-benefit modeling, and predictive analysis within established social impact measurement frameworks.
Remote Sensing and Geospatial AI for Environmental Impact Monitoring: Applying satellite and sensor data with AI to monitor deforestation, pollution, or climate vulnerabilities.
AI-Powered ESG Data Platforms: Creating or evaluating platforms that consolidate ESG data using AI, with attention to data ethics and governance.
AI for Real-Time SDG Progress Tracking at the City or Regional Level: Developing dashboards or models to track local SDG indicators using multi-source data and AI analytics.
AI-Augmented Stakeholder Engagement in Impact Assessment: Enhancing participatory approaches in ESG/SDG evaluation using chatbots, voice AI, or feedback clustering.
Bias and Fairness in AI Systems for ESG Decision-Making: Investigating how bias in AI models may affect ESG outcomes or exacerbate inequalities.
Comparative Evaluation of AI Tools for ESG Rating and Benchmarking: Assessing the reliability, transparency, and impact of AI-powered ESG scoring tools.
Submission Guidelines
Language: Submissions are accepted in English only.
Paper Types:
Full paper: 5 pages
Short paper: 3 pages
Format: Paper template
Submission: Please email your submission to Prof. Chien-wen (Mark) Shen at cwshen@ncu.edu.tw
Important Dates
Submission Deadline: September 30, 2025
Notification of Acceptance: October 10, 2025
Final Manuscript Submission: October 15, 2025
Sub-domain Conveners
Chien-wen (Mark) Shen - National Central University | cwshen@ncu.edu.tw
Carolyn Cordery - Victoria University of Wellington | carolyn.cordery@vuw.ac.nz
Weina Zhang - National University of Singapore | weina@nus.edu.sg
Santi Termprasertsakul - Srinakharinwirot University | santit@g.swu.ac.th
Contact Email: Chien-wen (Mark) Shen - National Central University | cwshen@ncu.edu.tw
AI Leading the Sustainable Green Circular Economy and FinTech - AI 引領永續的綠色循環經濟與金融科技
AI Leading the Sustainable Green Circular Economy and FinTech - AI 引領永續的綠色循環經濟與金融科技
Special Issue of Securities Market Development Quarterly
Theme: "AI Leading the Sustainable Green Circular Economy and FinTech"
This special issue aims to explore innovative applications of Artificial Intelligence (AI) technology in the circular economy and green financial markets. It will also conduct in-depth analysis on how AI can enhance the competitiveness and resilience governance capabilities of the securities market’s sustainable development. We sincerely invite scholars and experts from Taiwan and abroad to submit forward-thinking academic papers, as well as research related to policy, practice-oriented approaches, governance mechanisms, and strategies to improve environmental and social resilience.
Suggested Topics (including but not limited to):
AI technology promoting circular economy and sustainable governance in the securities market
Strategies and challenges of AI applications in the green financial market
AI-driven ESG sustainability ratings and corporate investment decisions
Innovative AI applications in green bonds and carbon trading markets
AI and big data enhancing sustainability disclosure and regulatory efficiency in the securities market
AI applications in extreme climate risk analysis and green financial product design
AI-assisted corporate sustainability report disclosure and third-party verification mechanisms
Artificial intelligence and investment portfolio management under the zero-carbon transition
AI combined with big data for risk management in the sustainable financial market
AI’s role in enhancing sustainable development capabilities and strategies of financial institutions
Using AI to evaluate the policy effects related to circular economy and green finance
AI-driven FinTech innovation
Guest Editors
Prof. Yeh, Jin-Huei, Department of Finance, National Central University
Prof. Huang, Hongming, Department of Finance, National Central University
Prof. Chih, Hsiang-Lin, Department of Finance and Cooperative Managment, National Taipei University
Submission Guidelines
Submissions are accepted in English only.
No submission fee is required.
The paper format must follow the submission guidelines of the Securities Market Development Quarterly.
Submission Method: Please submit anonymously through this conference’s online submission system (see below email contacts).
Accepted papers will be included in the conference agenda and invited for presentation. After the conference, selected papers will be invited for submission to the special issue of the Securities Market Development Quarterly.
Important Dates
Submission Deadline for Conference Papers: September 30, 2025 (tentative)
Notification of Acceptance: October 10, 2025
Conference Dates: November 13–14, 2025
Final Manuscript Submission for Special Issue Review: November 30, 2025
Expected Publication Date: Summer 2026 (tentative)
Submission Email Contacts:
Sarah Mai, Assistant to Director, ERP Center, National Central University: sarahmai@g.ncu.edu.tw
Ma, Hui-Chuan, Department of Finance, College of Management, National Central University: dearma@mgt.ncu.edu.tw
AI for Climate & Net Zero - AI 驅動之氣候變遷與淨零科技
AI for Climate & Net Zero - AI 驅動之氣候變遷與淨零科技
In the face of intensifying climate extremes and escalating environmental vulnerabilities, artificial intelligence (AI) has emerged as a transformative force in advancing climate resilience and net-zero technologies. This session invites interdisciplinary contributions that explore AI-driven innovations in drought monitoring, climate adaptation, and environmental governance.
We welcome submissions that address the integration of remote sensing, climate indicators, and geospatial analytics to enhance precision in drought detection and forecasting. Topics include typhoon–drought interactions, salinity intrusion in coastal zones, and region-specific vulnerability assessments. The session aims to showcase cutting-edge research and practical applications that empower decision-making and strengthen adaptive capacity in the face of climate uncertainty.
We invite scholars, practitioners, and policymakers to share novel methodologies, case studies, and conceptual frameworks that contribute to a sustainable and resilient future.
Topics for Submission
We welcome research papers, case studies, conceptual papers, and reviews related to AI-driven climate change and net-zero technologies, covering but not limited to the following topics:
AI-enhanced drought monitoring using remote sensing indices
Climate resilience through health vulnerability assessments
Typhoon–drought interactions and risk modeling in East Asia
Salinity intrusion detection in deltaic regions
Fusion of hyperspectral and multispectral imagery for drought feature extraction
Region-specific climate indicators for adaptive governance
AI-integrated frameworks for environmental decision support
Applications of ARC-NET and other deep learning models in climate analytics
Net-zero strategies informed by AI-driven hydrometeorological insights
Submission Guidelines
Language: Submissions are accepted in English only.
Paper Types:
Full paper: 5 pages
Short paper: 2-3 pages
Format: Paper template file
Submission: Please email to
Prof. Kevin Chun-Hsien Hsu, u7305020@gmail.com
Prof. Chenling Kuo, chengling.kuo@gmail.com
Prof. Yuei-An Liou, yueian@csrsr.ncu.edu.tw
Important Dates
Submission Deadline: September 30, 2025
Notification of Acceptance: October 10, 2025
Final Manuscript Submission: October 15, 2025
Sub-domain Conveners
Yuei-An Liou, National Central University, yueian@csrsr.ncu.edu.tw
Chun-Hsien Hsu, National Central University, u7305020@gmail.com
Chenling Kuo, National Central University, chengling.kuo@gmail.com
Hsuan-Ming Feng, National Quemoy University, hmfeng@nqu.edu.tw
Contact Email: Yuei-An Liou, National Central University, yueian@csrsr.ncu.edu.tw
AI for Digital Sustainability - AI 驅動之數位永續發展
AI for Digital Sustainability - AI 驅動之數位永續發展
In an era where Artificial Intelligence (AI) is transforming every industry, the sustainable development of digital technology has become a core issue of global concern. We believe that the responsible design, development, and application of digital technologies can not only accelerate environmental and social sustainability but also effectively address potential risks and challenges. This conference focuses on the key concept of "dual transformation," emphasizing the inseparable relationship between digital innovation and sustainability goals. We will jointly explore the "Sustainability of digital technology" and "Sustainability through digital technology."
We sincerely invite members from academia, industry, research institutions, and policymakers to share your research findings and insights. Let us together explore how AI can serve as a powerful engine to promote the sustainability of digital infrastructure, enhance resource efficiency, optimize energy management, advance the circular economy, and accelerate the achievement of the United Nations Sustainable Development Goals (SDGs). We look forward to your submissions sparking more interdisciplinary collaboration and innovation.
Topics for Submission
We welcome a wide range of research papers, case studies, conceptual papers, and reviews related to AI-driven digital sustainability, covering but not limited to the following topics:
AI and Sustainable Cities: Exploring the use of AI, IoT, and big data analytics to develop smart transportation, smart buildings, and sustainable urban planning to optimize resources, reduce carbon emissions, and improve residents'; quality of life.
AI in Energy Efficiency and Renewable Energy: Focusing on forward-thinking applications such as smart grids, energy consumption optimization, and renewable energy generation forecasting and storage management.
AI in Environmental Monitoring and Protection: Combining big data, satellite imagery, and IoT sensors to build precise climate change models, pollution monitoring systems, and enhance the quality of decision-making for biodiversity conservation.
AI Application in Circular Economy: Researching how to use AI, IoT, and blockchain technology to optimize resource recycling and product lifecycle management, thereby reducing waste and carbon emissions.
Sustainability of Digital Infrastructure: Focusing on energy-saving technologies like green data centers and edge computing, and addressing the environmental footprint of digital technology and the responsible management of electronic waste.
Ethics, Governance, and Social Impact of AI: Deliberating on ethical issues in sustainable development, such as data privacy and algorithmic bias, and exploring corresponding policies and governance frameworks.
AI and Sustainable Agriculture: Sharing applications of AI in precision agriculture, pest and disease prediction, and optimization of irrigation and fertilization to ensure global food security.
AI in Sustainable Supply Chain Management: Enhancing supply chain transparency and traceability through AI and blockchain technology to achieve optimal risk management and resource utilization.
Digital Divide and Equitable Sustainability: Investigating how to formulate inclusive strategies to eliminate the digital divide caused by differences in infrastructure and digital literacy.
Cross-disciplinary Integration and Policy Making: Encouraging discussions on the integrated application of technologies such as AI, IoT, blockchain, big data, and cloud computing to develop more forward-looking governance models.
Submission Guidelines
Language: Submissions are accepted in English only.
Paper Types:
Full paper: 5 pages
Short paper: 3 pages
Format: Paper template
Submission: Please email to Prof. Stephen J.H. Yang, Stephen.Yang.Ac@gmail.com
Important Dates
Submission Deadline: September 30, 2025
Notification of Acceptance: October 10, 2025
Final Manuscript Submission: October 15, 2025
Sub-domain Conveners
Stephen J.H. Yang, National Central University, Stephen.Yang.Ac@gmail.com
Jiun-Yu Wu, Southern Methodist University, jiunyu.rms@gmail.com
Tzu-Chi Yang, National Yang Ming Chiao Tung University, tcyang.academic@gmail.com
Owen H.T. Lu, National Chengchi University, owen.lu.academic@gmail.com
Contact Email:
Stephen J.H. Yang, National Central University, Stephen.Yang.Ac@gmail.com
AI Governance and Inclusive Society - AI 治理與多元包容社會
AI Governance and Inclusive Society - AI 治理與多元包容社會
In an era of rapid artificial intelligence advancement, establishing effective AI governance mechanisms while fostering inclusive and diverse social development has become a core global concern. This track seeks research papers exploring AI governance frameworks, algorithmic fairness, digital inclusion, and AI's impact on diverse societies.
Topics for Submission
We welcome a broad range of research articles, case studies, conceptual papers, and literature reviews related to this sub-domain. Submissions may include, but are not limited to, the following topics:
AI governance frameworks and policy development
Smart healthcare system governance and medical AI ethics
Health information system integration and interoperability
AI-driven precision marketing and consumer rights protection
Information system security and AI risk management
Algorithmic fairness and bias mitigation in healthcare and marketing
Digital inclusion and accessibility design
Cross-cultural AI adaptability and localization strategies
AI transparency and explainability in medical and marketing decisions
Data governance and privacy protection frameworks
Personalized AI services and ethical considerations
Cross-domain AI governance cooperation
AI innovation diffusion and digital transformation management
We encourage interdisciplinary research combining information management, healthcare management, marketing management, and social sciences to advance responsible, inclusive AI development for a truly diverse and sustainable society.
Submission Guidelines
Language: Submissions are accepted in English only.
Paper Types:
Full paper: 5 pages
Short paper: 3 pages
Format: Paper template
Submission: Please email your submission to Prof. Hsiao-Ting Tseng at httseng@g.ncu.edu.tw
Important Dates
Submission Deadline: September 30, 2025
Notification of Acceptance: October 10, 2025
Final Manuscript Submission: October 15, 2025
Sub-domain Conveners
Hsiao-Ting Tseng | National Central University | httseng@g.ncu.edu.tw
Jian Mou | Pusan National University | jian.mou@pusan.ac.kr
Guru Prabhakar | University of the West of England, Bristol
Chinmay Chakraborty | KIIT Deemed to be University | drchinmayc@ieee.org
Shizhen’s (Jasper) Jia, Quinnipiac University, shizhen.jia@quinnipiac.edu
Contact Email: Hsiao-Ting Tseng - National Central University | httseng@g.ncu.edu.tw
Sustainable AI & Education - 永續 AI 與教育
Sustainable AI & Education - 永續 AI 與教育
As artificial intelligence (AI) rapidly advances and the principles of the United Nations Sustainable Development Goals (SDGs) become more deeply integrated into global initiatives, "Sustainable AI" has emerged as a critical concept for our future. Sustainable AI extends beyond technological innovation, emphasizing its long-term, positive impact on society, the environment, and our educational systems. In the field of education, thoughtfully and systematically integrating AI technologies into curricula and teaching practices can create more open and diverse learning environments. This approach is essential for cultivating a future generation of global citizens equipped with innovative thinking, ethical judgment, and an awareness of sustainability, thereby contributing to a more equitable and sustainable global society.
This call for papers seeks to unite the expertise of academia, research institutions, industry, and policymakers to explore how AI can be effectively applied in educational settings to advance the implementation of the SDGs. We strongly encourage interdisciplinary collaboration and welcome the sharing of innovative applications, pedagogical practices, and research findings related to sustainable AI in education. Through this call for papers, we hope to stimulate greater dialogue and interest in the convergence of sustainable AI and education, guiding the field toward a more forward-thinking and sustainable future.
Topics for Submission
We welcome a variety of submissions, including research papers, case studies, conceptual papers, and reviews related to Sustainable AI and Education. Topics of interest include, but are not limited to:
Innovative Applications and Practices of Sustainable AI in Teaching:
Innovative instructional designs combining AI with sustainability issues.
Personalized and differentiated learning designs using AI.
The educational transformation driven by sustainable AI.
Research on AI's role in assisting students with special needs or in remote areas.
AI-powered accessible learning and assistive technologies.
Cross-lingual and cross-cultural applications of AI in education.
Big data analysis for interdisciplinary curricula that integrate AI and SDGs.
Curriculum Design and Development for Sustainable AI in Education:
Integrating AI and sustainability topics into K-12 and higher education curricula.
Development of smart classrooms and AI-assisted learning environments.
Interdisciplinary curriculum design for implementing SDGs with AI.
Ethics and Teacher Professional Development in Sustainable AI and Education:
Ethical issues concerning the application of AI in education.
The impact of future educational models on teachers and students.
Integrating AI ethics and sustainability into pre-service and in-service teacher training programs.
Strategies and effectiveness of AI literacy training for teachers.
Teachers' strategies for adapting to AI-driven technological changes.
Educational Policy and School Administration for Sustainable AI:
The formulation and evaluation of sustainable AI education policies.
International cooperation to promote development and innovation in sustainable AI for education.
Policy recommendations for the future development of sustainable AI education in Taiwan.
Models for school administration that promote sustainable AI.
Other related topics on Sustainable AI and Education.
Submission Guidelines
Language: Submissions are accepted in English only.
Paper Types:
Full paper: 5 pages
Short paper: 3 pages
Format: Paper template
Submission: Please email Prof. Albert C.M. Yang, albertyang1994@gmail.com
Important Dates
Submission Deadline: September 30, 2025
Notification of Acceptance: October 10, 2025
Final Manuscript Submission: October 15, 2025
Sub-domain Conveners
Jerry Chih-Yuan Sun (National Yang Ming Chiao Tung University)
Christopher C.Y. Yang (National Taipei University of Education)
Albert C.M. Yang (National Chung Hsing University)
Contact Emails
AI for Disaster Resilience - AI 防災應用
AI for Disaster Resilience - AI 防災應用
Amid increasingly frequent and severe extreme weather and disaster events, artificial intelligence (AI) holds potential for advancing disaster risk governance. AI-assisted disaster management enhances the timeliness and accuracy of early warning, optimizes resource allocation, strengthens risk communication, and supports data-driven decisions and policies. In the context of climate change, it is essential to explore how AI can foster greater societal resilience to disaster risks through diverse perspectives and interdisciplinary integration.
This sub-theme, “AI for Disaster Resilience,” addresses all phases of disaster governance—from risk assessment and early warning to emergency response and post-disaster recovery. We invite scholars, practitioners, and policymakers to examine how AI can be integrated with geographic information systems (GIS), remote sensing, social engagement, and local knowledge to promote more inclusive, equitable, and forward-looking resilience strategies. We welcome submissions presenting innovative applications, theoretical developments, empirical studies, and policy recommendations that advance the role of AI in disaster risk reduction and resilience for a sustainable future.
Topics for Submission
We welcome a wide range of submissions related to AI applications in disaster risk reduction and resilience, including research articles, case studies, conceptual papers, and commentaries. Contributions may explore practical cases and innovative applications where AI and other emerging technologies are integrated into disaster risk governance. Topics of interest include, but are not limited to:
AI for Disaster Forecasting and Early Warning: Use of machine learning and deep learning to enhance the accuracy and timeliness of forecasts for hazards such as typhoons, earthquakes, and landslides, strengthening pre-disaster warning capabilities.
AI-Assisted Risk and Vulnerability Assessment: Application of AI to analyze spatial data (e.g., satellite imagery, topography, land use) to improve the identification of high-risk and vulnerable areas.
AI for Optimizing Emergency Response and Resource Allocation: Leveraging AI for real-time optimization of emergency logistics, including resource distribution, shelter planning, and traffic control, to enhance response efficiency.
AI in Disaster Monitoring and Information Extraction: Integration of natural language processing and image recognition to extract information from social media, citizen reports, and other sources, supporting real-time disaster detection and public sentiment analysis.
AI for Damage Assessment and Post-Disaster Recovery: Use of AI to support post-disaster recovery, including analysis of building damage and restoration of critical infrastructure, to enhance recovery planning and resilience.
AI-Enhanced Local Knowledge for Disaster Risk Reduction: Exploration of how AI can complement local knowledge to strengthen community risk perception, collective action, and people-centered resilience practices.
AI in Disaster Education and Risk Communication: Application of AI in simulation-based training and interactive learning to raise disaster awareness and preparedness among the public, students, and frontline responders.
Submission Guidelines
Language: Submissions are accepted in English only.
Paper Types:
Full paper: Minimum of 5 pages
Short paper: Minimum of 3 pages
Format: Paper template
Submission: Please email to Prof. Chi-Tung Hung, ct@mail.mcu.edu.tw
Publication Opportunity: Accepted full papers, upon peer review, may be considered for publication in the Journal of Disaster Management (ISSN：2227-0515).
Important Dates
Submission Deadline: September 30, 2025
Notification of Acceptance: October 10, 2025
Final Manuscript Submission: October 15, 2025
Sub-domain Conveners
Jia-Jyun Dong, National Central University, jjdong@geo.ncu.edu.tw
Chi-Tung Hung, Ming Chuan University, ct@mail.mcu.edu.tw
Pei-Shan Sonia Lin, Central Police University, sonialin@mail.cpu.edu.tw
Contact Email: Chi-Tung Hung, Ming Chuan University, ct@mail.mcu.edu.tw
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